Browsing Engineering (Faculty of) by Subject "machine learning"
Now showing items 1-20 of 39
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Automatic Identification of Algae using Low-cost Multispectral Fluorescence Digital Microscopy, Hierarchical Classification & Deep Learning
(University of Waterloo, 2019-12-05)Harmful algae blooms (HABs) can produce lethal toxins and are a rising global concern. In response to this threat, many organizations are monitoring algae populations to determine if a water body might be contaminated. ... -
Biologically Inspired Spatial Representation
(University of Waterloo, 2020-10-08)In this thesis I explore a biologically inspired method of encoding continuous space within a population of neurons. This method provides an extension to the Semantic Pointer Architecture (SPA) to encompass Semantic Pointers ... -
CDCL(Crypto) and Machine Learning based SAT Solvers for Cryptanalysis
(University of Waterloo, 2020-05-15)Over the last two decades, we have seen a dramatic improvement in the efficiency of conflict-driven clause-learning Boolean satisfiability (CDCL SAT) solvers over industrial problems from a variety of applications such as ... -
Data Driven Modelling and Optimization of MEA Absorption Process for CO2 Capture
(University of Waterloo, 2020-05-27)Global warming is a rising issue and there are many research studies aiming to reduce greenhouse gas emissions. Carbon capture and storage technologies improved throughout the years to contribute as a solution to this ... -
Development of a machine learning-based model to autonomously estimate web page credibility
(University of Waterloo, 2020-09-02)There is a broad range of information available on the Internet, some of which is considered to be more credible than others. People consider different credibility aspects while evaluating the credibility of a web page, ... -
Development of Machine Learning Based Analytical Tools for Pavement Performance Assessment and Crack Detection
(University of Waterloo, 2019-08-19)Pavement Management System (PMS) analytical tools mainly consist of pavement condition investigation and evaluation tools, pavement condition rating and assessment tools, pavement performance prediction tools, treatment ... -
Driving Manoeuvre Recognition using Mobile Sensors
(University of Waterloo, 2016-08-31)Automobiles are integral in today's society as they are used for transportation, commerce, and public services. The ubiquity of automotive transportation creates a demand for active safety technologies for the consumer. ... -
Evaluation of Accelerometer-Based Walking-Turn Features for Fall-Risk Assessment in Older Adults
(University of Waterloo, 2017-05-17)Falls in older adult populations are a serious health concern, resulting in physical and psychological trauma in addition to increased pressure on healthcare systems. Faller classification and fall risk assessment in elderly ... -
Financial Fraud Detection and Data Mining of Imbalanced Databases using State Space Machine Learning
(University of Waterloo, 2016-01-04)Risky decisions made by humans exhibit characteristics common to each decision. The related systems experience repeated abuse by risky humans and their actions collude to form a systemic behavioural set. Financial fraud ... -
Finding Patterns in Static Analysis Alerts: Improving Actionable Alert Ranking
(University of Waterloo, 2014-09-02)Static analysis (SA) tools that find bugs by inferring programmer beliefs (e.g., FindBugs) are commonplace in today’s software industry. While they find a large number of actual defects, they are often plagued by high rates ... -
Highly Efficient Deep Intelligence via Multi-Parent Evolutionary Synthesis of Deep Neural Networks
(University of Waterloo, 2020-02-11)Machine learning methods, and particularly deep neural networks, are a rapidly growing field and are currently being employed in domains such as science, business, and government. However, the significant success of neural ... -
An Intelligent System for Induction Motor Health Condition Monitoring
(University of Waterloo, 2015-04-08)Induction motors (IMs) are commonly used in both industrial applications and household appliances. An IM online condition monitoring system is very useful to identify the IM fault at its initial stage, in order to prevent ... -
Intent Classification during Human-Robot Contact
(University of Waterloo, 2020-10-15)Robots are used in many areas of industry and automation. Currently, human safety is ensured through physical separation and safeguards. However, there is increasing interest in allowing robots and humans to work in close ... -
Investigating the Application of Opposition-Based Ideas to Ant Algorithms
(University of Waterloo, 2007-09-13)Opposition-based learning (OBL) was recently proposed to extend di erent machine learning algorithms. The main idea of OBL is to consider opposite estimates, actions or states as an attempt to increase the coverage of ... -
Kernel Methods and Measures for Classification with Transparency, Interpretability and Accuracy in Health Care
(University of Waterloo, 2018-09-05)Support vector machines are a popular method in machine learning. They learn from data about a subject, for example, lung tumors in a set of patients, to classify new data, such as, a new patient’s tumor. The new tumor is ... -
Leveraging Machine Learning to Improve Software Reliability
(University of Waterloo, 2019-01-09)Finding software faults is a critical task during the lifecycle of a software system. While traditional software quality control practices such as statistical defect prediction, static bug detection, regression test, and ... -
Machine Learning Based Data Driven Modelling of Time Series of Power Plant Data
(University of Waterloo, 2020-04-28)Accurate modeling and simulation of data collected from a power plant system are important factors in the strategic planning and maintenance of the unit. Several non-linearities and multivariable couplings are associated ... -
Machine Learning based Models for Fresh Produce Yield and Price Forecasting for Strawberry Fruit
(University of Waterloo, 2020-06-02)Building market price forecasting models of Fresh Produce (FP) is crucial to protect retailers and consumers from highly priced FP. However, the task of forecasting FP prices is highly complex due to the very short shelf ... -
Machine Learning for Software Dependability
(University of Waterloo, 2020-11-10)Dependability is an important quality of modern software but is challenging to achieve. Many software dependability techniques have been proposed to help developers improve software reliability and dependability such as ... -
Machine Learning Methods for Annual Influenza Vaccine Update
(University of Waterloo, 2013-04-30)Influenza is a public health problem that causes serious illness and deaths all over the world. Vaccination has been shown to be the most effective mean to prevent infection. The primary component of influenza vaccine is ...